Pandas Profiling Report

Dataset statistics

Number of variables	25
Number of observations	103904
Missing cells	310
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	19.8 MiB
Average record size in memory	200.0 B

Variable types

Numeric	19
Categorical	6

Warnings

`Inflight wifi service` is highly correlated with `Ease of Online booking`	High correlation
`Ease of Online booking` is highly correlated with `Inflight wifi service`	High correlation
`Food and drink` is highly correlated with `Seat comfort` and 2 other fields	High correlation
`Seat comfort` is highly correlated with `Food and drink` and 2 other fields	High correlation
`Inflight entertainment` is highly correlated with `Food and drink` and 2 other fields	High correlation
`On-board service` is highly correlated with `Baggage handling` and 1 other fields	High correlation
`Baggage handling` is highly correlated with `On-board service` and 1 other fields	High correlation
`Inflight service` is highly correlated with `On-board service` and 1 other fields	High correlation
`Cleanliness` is highly correlated with `Food and drink` and 2 other fields	High correlation
`Departure Delay in Minutes` is highly correlated with `Arrival Delay in Minutes`	High correlation
`Arrival Delay in Minutes` is highly correlated with `Departure Delay in Minutes`	High correlation
`Inflight wifi service` is highly correlated with `Ease of Online booking`	High correlation
`Ease of Online booking` is highly correlated with `Inflight wifi service`	High correlation
`Food and drink` is highly correlated with `Seat comfort` and 2 other fields	High correlation
`Seat comfort` is highly correlated with `Food and drink` and 2 other fields	High correlation
`Inflight entertainment` is highly correlated with `Food and drink` and 2 other fields	High correlation
`On-board service` is highly correlated with `Baggage handling` and 1 other fields	High correlation
`Baggage handling` is highly correlated with `On-board service` and 1 other fields	High correlation
`Inflight service` is highly correlated with `On-board service` and 1 other fields	High correlation
`Cleanliness` is highly correlated with `Food and drink` and 2 other fields	High correlation
`Departure Delay in Minutes` is highly correlated with `Arrival Delay in Minutes`	High correlation
`Arrival Delay in Minutes` is highly correlated with `Departure Delay in Minutes`	High correlation
`Inflight wifi service` is highly correlated with `Ease of Online booking`	High correlation
`Ease of Online booking` is highly correlated with `Inflight wifi service`	High correlation
`Food and drink` is highly correlated with `Inflight entertainment` and 1 other fields	High correlation
`Seat comfort` is highly correlated with `Inflight entertainment` and 1 other fields	High correlation
`Inflight entertainment` is highly correlated with `Food and drink` and 2 other fields	High correlation
`On-board service` is highly correlated with `Inflight service`	High correlation
`Baggage handling` is highly correlated with `Inflight service`	High correlation
`Inflight service` is highly correlated with `On-board service` and 1 other fields	High correlation
`Cleanliness` is highly correlated with `Food and drink` and 2 other fields	High correlation
`Departure Delay in Minutes` is highly correlated with `Arrival Delay in Minutes`	High correlation
`Arrival Delay in Minutes` is highly correlated with `Departure Delay in Minutes`	High correlation
`Seat comfort` is highly correlated with `Cleanliness` and 5 other fields	High correlation
`Cleanliness` is highly correlated with `Seat comfort` and 3 other fields	High correlation
`Inflight wifi service` is highly correlated with `Gate location` and 4 other fields	High correlation
`Food and drink` is highly correlated with `Seat comfort` and 2 other fields	High correlation
`Gate location` is highly correlated with `Inflight wifi service` and 2 other fields	High correlation
`satisfaction` is highly correlated with `Seat comfort` and 4 other fields	High correlation
`Arrival Delay in Minutes` is highly correlated with `Departure Delay in Minutes`	High correlation
`On-board service` is highly correlated with `Leg room service` and 3 other fields	High correlation
`Online boarding` is highly correlated with `Seat comfort` and 5 other fields	High correlation
`Leg room service` is highly correlated with `On-board service` and 2 other fields	High correlation
`Departure/Arrival time convenient` is highly correlated with `Inflight wifi service` and 2 other fields	High correlation
`Type of Travel` is highly correlated with `satisfaction`	High correlation
`Ease of Online booking` is highly correlated with `Inflight wifi service` and 3 other fields	High correlation
`Inflight entertainment` is highly correlated with `Seat comfort` and 6 other fields	High correlation
`Baggage handling` is highly correlated with `On-board service` and 1 other fields	High correlation
`Departure Delay in Minutes` is highly correlated with `Arrival Delay in Minutes`	High correlation
`Class` is highly correlated with `Online boarding`	High correlation
`Checkin service` is highly correlated with `Seat comfort`	High correlation
`Inflight service` is highly correlated with `On-board service` and 3 other fields	High correlation
`satisfaction` is highly correlated with `Class`	High correlation
`Class` is highly correlated with `satisfaction` and 1 other fields	High correlation
`Type of Travel` is highly correlated with `Class`	High correlation
`Unnamed: 0` is uniformly distributed	Uniform
`id` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique
`id` has unique values	Unique
`Inflight wifi service` has 3103 (3.0%) zeros	Zeros
`Departure/Arrival time convenient` has 5300 (5.1%) zeros	Zeros
`Ease of Online booking` has 4487 (4.3%) zeros	Zeros
`Online boarding` has 2428 (2.3%) zeros	Zeros
`Departure Delay in Minutes` has 58668 (56.5%) zeros	Zeros
`Arrival Delay in Minutes` has 58159 (56.0%) zeros	Zeros

Reproduction

Analysis started	2021-08-16 10:48:52.868611
Analysis finished	2021-08-16 10:50:24.552396
Duration	1 minute and 31.68 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Unnamed: 0
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	103904
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51951.5

Minimum	0
Maximum	103903
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	5195.15
Q1	25975.75
median	51951.5
Q3	77927.25
95-th percentile	98707.85
Maximum	103903
Range	103903
Interquartile range (IQR)	51951.5

Descriptive statistics

Standard deviation	29994.64552
Coefficient of variation (CV)	0.5773586041
Kurtosis	-1.2
Mean	51951.5
Median Absolute Deviation (MAD)	25976
Skewness	0
Sum	5397968656
Variance	899678760
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
29988	1	< 0.1%
81165	1	< 0.1%
75022	1	< 0.1%
77071	1	< 0.1%
103704	1	< 0.1%
99610	1	< 0.1%
101659	1	< 0.1%
21792	1	< 0.1%
23841	1	< 0.1%
Other values (103894)	103894	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
103903	1	< 0.1%
103902	1	< 0.1%
103901	1	< 0.1%
103900	1	< 0.1%
103899	1	< 0.1%
103898	1	< 0.1%
103897	1	< 0.1%
103896	1	< 0.1%
103895	1	< 0.1%
103894	1	< 0.1%

id
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	103904
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64924.2105

Minimum	1
Maximum	129880
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	1
5-th percentile	6593.15
Q1	32533.75
median	64856.5
Q3	97368.25
95-th percentile	123409.7
Maximum	129880
Range	129879
Interquartile range (IQR)	64834.5

Descriptive statistics

Standard deviation	37463.81225
Coefficient of variation (CV)	0.5770391655
Kurtosis	-1.198440096
Mean	64924.2105
Median Absolute Deviation (MAD)	32410
Skewness	0.002864248253
Sum	6745885168
Variance	1403537228
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4094	1	< 0.1%
83074	1	< 0.1%
52275	1	< 0.1%
62516	1	< 0.1%
64565	1	< 0.1%
58422	1	< 0.1%
60471	1	< 0.1%
33850	1	< 0.1%
35899	1	< 0.1%
46140	1	< 0.1%
Other values (103894)	103894	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
129880	1	< 0.1%
129879	1	< 0.1%
129878	1	< 0.1%
129875	1	< 0.1%
129874	1	< 0.1%
129873	1	< 0.1%
129871	1	< 0.1%
129870	1	< 0.1%
129869	1	< 0.1%
129867	1	< 0.1%

Gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	811.9 KiB

Female	52727
Male	51177

Length

Max length	6
Median length	6
Mean length	5.014917616
Min length	4

Characters and Unicode

Total characters	521070
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Female
4th row	Female
5th row	Male

Common Values

Value	Count	Frequency (%)
Female	52727	50.7%
Male	51177	49.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
female	52727	50.7%
male	51177	49.3%

Most occurring characters

Value	Count	Frequency (%)
e	156631	30.1%
a	103904	19.9%
l	103904	19.9%
F	52727	10.1%
m	52727	10.1%
M	51177	9.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	417166	80.1%
Uppercase Letter	103904	19.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	156631	37.5%
a	103904	24.9%
l	103904	24.9%
m	52727	12.6%

Uppercase Letter

Value	Count	Frequency (%)
F	52727	50.7%
M	51177	49.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	521070	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	156631	30.1%
a	103904	19.9%
l	103904	19.9%
F	52727	10.1%
m	52727	10.1%
M	51177	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	521070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	156631	30.1%
a	103904	19.9%
l	103904	19.9%
F	52727	10.1%
m	52727	10.1%
M	51177	9.8%

Customer Type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	811.9 KiB

Loyal Customer	84923
disloyal Customer	18981

Length

Max length	17
Median length	14
Mean length	14.54803472
Min length	14

Characters and Unicode

Total characters	1511599
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Loyal Customer
2nd row	disloyal Customer
3rd row	Loyal Customer
4th row	Loyal Customer
5th row	Loyal Customer

Common Values

Value	Count	Frequency (%)
Loyal Customer	84923	81.7%
disloyal Customer	18981	18.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
customer	103904	50.0%
loyal	84923	40.9%
disloyal	18981	9.1%

Most occurring characters

Value	Count	Frequency (%)
o	207808	13.7%
l	122885	8.1%
s	122885	8.1%
y	103904	6.9%
a	103904	6.9%
	103904	6.9%
C	103904	6.9%
u	103904	6.9%
t	103904	6.9%
m	103904	6.9%
Other values (5)	330693	21.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1218868	80.6%
Uppercase Letter	188827	12.5%
Space Separator	103904	6.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	207808	17.0%
l	122885	10.1%
s	122885	10.1%
y	103904	8.5%
a	103904	8.5%
u	103904	8.5%
t	103904	8.5%
m	103904	8.5%
e	103904	8.5%
r	103904	8.5%
Other values (2)	37962	3.1%

Uppercase Letter

Value	Count	Frequency (%)
C	103904	55.0%
L	84923	45.0%

Space Separator

Value	Count	Frequency (%)
	103904	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1407695	93.1%
Common	103904	6.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	207808	14.8%
l	122885	8.7%
s	122885	8.7%
y	103904	7.4%
a	103904	7.4%
C	103904	7.4%
u	103904	7.4%
t	103904	7.4%
m	103904	7.4%
e	103904	7.4%
Other values (4)	226789	16.1%

Common

Value	Count	Frequency (%)
	103904	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1511599	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	207808	13.7%
l	122885	8.1%
s	122885	8.1%
y	103904	6.9%
a	103904	6.9%
	103904	6.9%
C	103904	6.9%
u	103904	6.9%
t	103904	6.9%
m	103904	6.9%
Other values (5)	330693	21.9%

Age
Real number (ℝ_≥0)

Distinct	75
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.37970627

Minimum	7
Maximum	85
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	7
5-th percentile	14
Q1	27
median	40
Q3	51
95-th percentile	64
Maximum	85
Range	78
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	15.1149637
Coefficient of variation (CV)	0.3838262174
Kurtosis	-0.7195681169
Mean	39.37970627
Median Absolute Deviation (MAD)	12
Skewness	-0.004516127072
Sum	4091709
Variance	228.4621276
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39	2969	2.9%
25	2798	2.7%
40	2574	2.5%
44	2482	2.4%
42	2457	2.4%
41	2456	2.4%
22	2351	2.3%
23	2346	2.3%
45	2339	2.3%
47	2329	2.2%
Other values (65)	78803	75.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7	562	0.5%
8	640	0.6%
9	692	0.7%
10	683	0.7%
11	678	0.7%
12	635	0.6%
13	633	0.6%
14	707	0.7%
15	818	0.8%
16	899	0.9%

Value	Count	Frequency (%)
85	17	< 0.1%
80	78	0.1%
79	42	< 0.1%
78	33	< 0.1%
77	87	0.1%
76	45	< 0.1%
75	61	0.1%
74	47	< 0.1%
73	51	< 0.1%
72	201	0.2%

Type of Travel
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	811.9 KiB

Business travel	71655
Personal Travel	32249

Length

Max length	15
Median length	15
Mean length	15
Min length	15

Characters and Unicode

Total characters	1558560
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Personal Travel
2nd row	Business travel
3rd row	Business travel
4th row	Business travel
5th row	Business travel

Common Values

Value	Count	Frequency (%)
Business travel	71655	69.0%
Personal Travel	32249	31.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
travel	103904	50.0%
business	71655	34.5%
personal	32249	15.5%

Most occurring characters

Value	Count	Frequency (%)
s	247214	15.9%
e	207808	13.3%
r	136153	8.7%
a	136153	8.7%
l	136153	8.7%
n	103904	6.7%
	103904	6.7%
v	103904	6.7%
B	71655	4.6%
u	71655	4.6%
Other values (5)	240057	15.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1318503	84.6%
Uppercase Letter	136153	8.7%
Space Separator	103904	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	247214	18.7%
e	207808	15.8%
r	136153	10.3%
a	136153	10.3%
l	136153	10.3%
n	103904	7.9%
v	103904	7.9%
u	71655	5.4%
i	71655	5.4%
t	71655	5.4%

Uppercase Letter

Value	Count	Frequency (%)
B	71655	52.6%
P	32249	23.7%
T	32249	23.7%

Space Separator

Value	Count	Frequency (%)
	103904	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1454656	93.3%
Common	103904	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	247214	17.0%
e	207808	14.3%
r	136153	9.4%
a	136153	9.4%
l	136153	9.4%
n	103904	7.1%
v	103904	7.1%
B	71655	4.9%
u	71655	4.9%
i	71655	4.9%
Other values (4)	168402	11.6%

Common

Value	Count	Frequency (%)
	103904	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1558560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	247214	15.9%
e	207808	13.3%
r	136153	8.7%
a	136153	8.7%
l	136153	8.7%
n	103904	6.7%
	103904	6.7%
v	103904	6.7%
B	71655	4.6%
u	71655	4.6%
Other values (5)	240057	15.4%

Class
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	811.9 KiB

Business	49665
Eco	46745
Eco Plus	7494

Length

Max length	8
Median length	8
Mean length	5.750567832
Min length	3

Characters and Unicode

Total characters	597507
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Eco Plus
2nd row	Business
3rd row	Business
4th row	Business
5th row	Business

Common Values

Value	Count	Frequency (%)
Business	49665	47.8%
Eco	46745	45.0%
Eco Plus	7494	7.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
eco	54239	48.7%
business	49665	44.6%
plus	7494	6.7%

Most occurring characters

Value	Count	Frequency (%)
s	156489	26.2%
u	57159	9.6%
E	54239	9.1%
c	54239	9.1%
o	54239	9.1%
B	49665	8.3%
i	49665	8.3%
n	49665	8.3%
e	49665	8.3%
	7494	1.3%
Other values (2)	14988	2.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	478615	80.1%
Uppercase Letter	111398	18.6%
Space Separator	7494	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	156489	32.7%
u	57159	11.9%
c	54239	11.3%
o	54239	11.3%
i	49665	10.4%
n	49665	10.4%
e	49665	10.4%
l	7494	1.6%

Uppercase Letter

Value	Count	Frequency (%)
E	54239	48.7%
B	49665	44.6%
P	7494	6.7%

Space Separator

Value	Count	Frequency (%)
	7494	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	590013	98.7%
Common	7494	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	156489	26.5%
u	57159	9.7%
E	54239	9.2%
c	54239	9.2%
o	54239	9.2%
B	49665	8.4%
i	49665	8.4%
n	49665	8.4%
e	49665	8.4%
P	7494	1.3%

Common

Value	Count	Frequency (%)
	7494	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	597507	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	156489	26.2%
u	57159	9.6%
E	54239	9.1%
c	54239	9.1%
o	54239	9.1%
B	49665	8.3%
i	49665	8.3%
n	49665	8.3%
e	49665	8.3%
	7494	1.3%
Other values (2)	14988	2.5%

Flight Distance
Real number (ℝ_≥0)

Distinct	3802
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1189.448375

Minimum	31
Maximum	4983
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	31
5-th percentile	175
Q1	414
median	843
Q3	1743
95-th percentile	3383
Maximum	4983
Range	4952
Interquartile range (IQR)	1329

Descriptive statistics

Standard deviation	997.1472805
Coefficient of variation (CV)	0.838327498
Kurtosis	0.2685354395
Mean	1189.448375
Median Absolute Deviation (MAD)	517
Skewness	1.109465668
Sum	123588444
Variance	994302.6991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
337	660	0.6%
594	395	0.4%
404	392	0.4%
2475	369	0.4%
862	369	0.4%
447	362	0.3%
236	351	0.3%
192	333	0.3%
399	332	0.3%
308	329	0.3%
Other values (3792)	100012	96.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
31	8	< 0.1%
56	8	< 0.1%
67	128	0.1%
73	59	0.1%
74	30	< 0.1%
76	1	< 0.1%
77	41	< 0.1%
78	30	< 0.1%
80	2	< 0.1%
82	7	< 0.1%

Value	Count	Frequency (%)
4983	12	< 0.1%
4963	13	< 0.1%
4817	5	< 0.1%
4502	10	< 0.1%
4243	18	< 0.1%
4000	11	< 0.1%
3999	5	< 0.1%
3998	8	< 0.1%
3997	9	< 0.1%
3996	8	< 0.1%

Inflight wifi service
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.729683169

Minimum	0
Maximum	5
Zeros	3103
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.327829471
Coefficient of variation (CV)	0.4864408757
Kurtosis	-0.8461697189
Mean	2.729683169
Median Absolute Deviation (MAD)	1
Skewness	0.04040802158
Sum	283625
Variance	1.763131105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	25868	24.9%
2	25830	24.9%
4	19794	19.1%
1	17840	17.2%
5	11469	11.0%
0	3103	3.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3103	3.0%
1	17840	17.2%
2	25830	24.9%
3	25868	24.9%
4	19794	19.1%
5	11469	11.0%

Value	Count	Frequency (%)
5	11469	11.0%
4	19794	19.1%
3	25868	24.9%
2	25830	24.9%
1	17840	17.2%
0	3103	3.0%

Departure/Arrival time convenient
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.060296043

Minimum	0
Maximum	5
Zeros	5300
Zeros (%)	5.1%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.525075197
Coefficient of variation (CV)	0.4983423748
Kurtosis	-1.037767284
Mean	3.060296043
Median Absolute Deviation (MAD)	1
Skewness	-0.3343986322
Sum	317977
Variance	2.325854357
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	25546	24.6%
5	22403	21.6%
3	17966	17.3%
2	17191	16.5%
1	15498	14.9%
0	5300	5.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5300	5.1%
1	15498	14.9%
2	17191	16.5%
3	17966	17.3%
4	25546	24.6%
5	22403	21.6%

Value	Count	Frequency (%)
5	22403	21.6%
4	25546	24.6%
3	17966	17.3%
2	17191	16.5%
1	15498	14.9%
0	5300	5.1%

Ease of Online booking
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.756900601

Minimum	0
Maximum	5
Zeros	4487
Zeros (%)	4.3%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.398929473
Coefficient of variation (CV)	0.5074283318
Kurtosis	-0.9103462085
Mean	2.756900601
Median Absolute Deviation (MAD)	1
Skewness	-0.01829427334
Sum	286453
Variance	1.957003669
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	24449	23.5%
2	24021	23.1%
4	19571	18.8%
1	17525	16.9%
5	13851	13.3%
0	4487	4.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4487	4.3%
1	17525	16.9%
2	24021	23.1%
3	24449	23.5%
4	19571	18.8%
5	13851	13.3%

Value	Count	Frequency (%)
5	13851	13.3%
4	19571	18.8%
3	24449	23.5%
2	24021	23.1%
1	17525	16.9%
0	4487	4.3%

Gate location
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.976882507

Minimum	0
Maximum	5
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.27762101
Coefficient of variation (CV)	0.4291808653
Kurtosis	-1.030283299
Mean	2.976882507
Median Absolute Deviation (MAD)	1
Skewness	-0.05888941158
Sum	309310
Variance	1.632315446
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	28577	27.5%
4	24426	23.5%
2	19459	18.7%
1	17562	16.9%
5	13879	13.4%
0	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	17562	16.9%
2	19459	18.7%
3	28577	27.5%
4	24426	23.5%
5	13879	13.4%

Value	Count	Frequency (%)
5	13879	13.4%
4	24426	23.5%
3	28577	27.5%
2	19459	18.7%
1	17562	16.9%
0	1	< 0.1%

Food and drink
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.202128888

Minimum	0
Maximum	5
Zeros	107
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.329532711
Coefficient of variation (CV)	0.4152027471
Kurtosis	-1.145453205
Mean	3.202128888
Median Absolute Deviation (MAD)	1
Skewness	-0.151279497
Sum	332714
Variance	1.767657229
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	24359	23.4%
5	22313	21.5%
3	22300	21.5%
2	21988	21.2%
1	12837	12.4%
0	107	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	107	0.1%
1	12837	12.4%
2	21988	21.2%
3	22300	21.5%
4	24359	23.4%
5	22313	21.5%

Value	Count	Frequency (%)
5	22313	21.5%
4	24359	23.4%
3	22300	21.5%
2	21988	21.2%
1	12837	12.4%
0	107	0.1%

Online boarding
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.250375346

Minimum	0
Maximum	5
Zeros	2428
Zeros (%)	2.3%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.349508954
Coefficient of variation (CV)	0.4151855739
Kurtosis	-0.7020058043
Mean	3.250375346
Median Absolute Deviation (MAD)	1
Skewness	-0.4538516953
Sum	337727
Variance	1.821174416
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	30762	29.6%
3	21804	21.0%
5	20713	19.9%
2	17505	16.8%
1	10692	10.3%
0	2428	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2428	2.3%
1	10692	10.3%
2	17505	16.8%
3	21804	21.0%
4	30762	29.6%
5	20713	19.9%

Value	Count	Frequency (%)
5	20713	19.9%
4	30762	29.6%
3	21804	21.0%
2	17505	16.8%
1	10692	10.3%
0	2428	2.3%

Seat comfort
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.439395981

Minimum	0
Maximum	5
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	5
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.319087519
Coefficient of variation (CV)	0.3835230157
Kurtosis	-0.9257020682
Mean	3.439395981
Median Absolute Deviation (MAD)	1
Skewness	-0.4827753882
Sum	357367
Variance	1.739991882
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	31765	30.6%
5	26470	25.5%
3	18696	18.0%
2	14897	14.3%
1	12075	11.6%
0	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	12075	11.6%
2	14897	14.3%
3	18696	18.0%
4	31765	30.6%
5	26470	25.5%

Value	Count	Frequency (%)
5	26470	25.5%
4	31765	30.6%
3	18696	18.0%
2	14897	14.3%
1	12075	11.6%
0	1	< 0.1%

Inflight entertainment
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.35815753

Minimum	0
Maximum	5
Zeros	14
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.332990715
Coefficient of variation (CV)	0.3969410913
Kurtosis	-1.060695752
Mean	3.35815753
Median Absolute Deviation (MAD)	1
Skewness	-0.3651305877
Sum	348926
Variance	1.776864245
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	29423	28.3%
5	25213	24.3%
3	19139	18.4%
2	17637	17.0%
1	12478	12.0%
0	14	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	14	< 0.1%
1	12478	12.0%
2	17637	17.0%
3	19139	18.4%
4	29423	28.3%
5	25213	24.3%

Value	Count	Frequency (%)
5	25213	24.3%
4	29423	28.3%
3	19139	18.4%
2	17637	17.0%
1	12478	12.0%
0	14	< 0.1%

On-board service
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.382362565

Minimum	0
Maximum	5
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.288354361
Coefficient of variation (CV)	0.3809036837
Kurtosis	-0.8923352438
Mean	3.382362565
Median Absolute Deviation (MAD)	1
Skewness	-0.4200307451
Sum	351441
Variance	1.659856959
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	30867	29.7%
5	23648	22.8%
3	22833	22.0%
2	14681	14.1%
1	11872	11.4%
0	3	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	< 0.1%
1	11872	11.4%
2	14681	14.1%
3	22833	22.0%
4	30867	29.7%
5	23648	22.8%

Value	Count	Frequency (%)
5	23648	22.8%
4	30867	29.7%
3	22833	22.0%
2	14681	14.1%
1	11872	11.4%
0	3	< 0.1%

Leg room service
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.35105482

Minimum	0
Maximum	5
Zeros	472
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.315604619
Coefficient of variation (CV)	0.3925941801
Kurtosis	-0.9802569111
Mean	3.35105482
Median Absolute Deviation (MAD)	1
Skewness	-0.3502313446
Sum	348188
Variance	1.730815514
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	28789	27.7%
5	24667	23.7%
3	20098	19.3%
2	19525	18.8%
1	10353	10.0%
0	472	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	472	0.5%
1	10353	10.0%
2	19525	18.8%
3	20098	19.3%
4	28789	27.7%
5	24667	23.7%

Value	Count	Frequency (%)
5	24667	23.7%
4	28789	27.7%
3	20098	19.3%
2	19525	18.8%
1	10353	10.0%
0	472	0.5%

Baggage handling
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	811.9 KiB

4	37383
5	27131
3	20632
2	11521
1	7237

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	103904
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	3
3rd row	4
4th row	3
5th row	4

Common Values

Value	Count	Frequency (%)
4	37383	36.0%
5	27131	26.1%
3	20632	19.9%
2	11521	11.1%
1	7237	7.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4	37383	36.0%
5	27131	26.1%
3	20632	19.9%
2	11521	11.1%
1	7237	7.0%

Most occurring characters

Value	Count	Frequency (%)
4	37383	36.0%
5	27131	26.1%
3	20632	19.9%
2	11521	11.1%
1	7237	7.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	103904	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	37383	36.0%
5	27131	26.1%
3	20632	19.9%
2	11521	11.1%
1	7237	7.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	103904	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	37383	36.0%
5	27131	26.1%
3	20632	19.9%
2	11521	11.1%
1	7237	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	103904	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	37383	36.0%
5	27131	26.1%
3	20632	19.9%
2	11521	11.1%
1	7237	7.0%

Checkin service
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.304290499

Minimum	0
Maximum	5
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.265395827
Coefficient of variation (CV)	0.382955381
Kurtosis	-0.8288770565
Mean	3.304290499
Median Absolute Deviation (MAD)	1
Skewness	-0.3649819608
Sum	343329
Variance	1.601226599
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	29055	28.0%
3	28446	27.4%
5	20619	19.8%
2	12893	12.4%
1	12890	12.4%
0	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	12890	12.4%
2	12893	12.4%
3	28446	27.4%
4	29055	28.0%
5	20619	19.8%

Value	Count	Frequency (%)
5	20619	19.8%
4	29055	28.0%
3	28446	27.4%
2	12893	12.4%
1	12890	12.4%
0	1	< 0.1%

Inflight service
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.640427702

Minimum	0
Maximum	5
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	5
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.175663034
Coefficient of variation (CV)	0.3229464035
Kurtosis	-0.3575091976
Mean	3.640427702
Median Absolute Deviation (MAD)	1
Skewness	-0.6903139573
Sum	378255
Variance	1.382183569
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	37945	36.5%
5	27116	26.1%
3	20299	19.5%
2	11457	11.0%
1	7084	6.8%
0	3	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	< 0.1%
1	7084	6.8%
2	11457	11.0%
3	20299	19.5%
4	37945	36.5%
5	27116	26.1%

Value	Count	Frequency (%)
5	27116	26.1%
4	37945	36.5%
3	20299	19.5%
2	11457	11.0%
1	7084	6.8%
0	3	< 0.1%

Cleanliness
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.286350862

Minimum	0
Maximum	5
Zeros	12
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.312272847
Coefficient of variation (CV)	0.3993100256
Kurtosis	-1.012557651
Mean	3.286350862
Median Absolute Deviation (MAD)	1
Skewness	-0.3000744927
Sum	341465
Variance	1.722060025
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	27179	26.2%
3	24574	23.7%
5	22689	21.8%
2	16132	15.5%
1	13318	12.8%
0	12	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12	< 0.1%
1	13318	12.8%
2	16132	15.5%
3	24574	23.7%
4	27179	26.2%
5	22689	21.8%

Value	Count	Frequency (%)
5	22689	21.8%
4	27179	26.2%
3	24574	23.7%
2	16132	15.5%
1	13318	12.8%
0	12	< 0.1%

Departure Delay in Minutes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	446
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.81561826

Minimum	0
Maximum	1592
Zeros	58668
Zeros (%)	56.5%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	12
95-th percentile	78
Maximum	1592
Range	1592
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	38.23090058
Coefficient of variation (CV)	2.580445845
Kurtosis	100.2670058
Mean	14.81561826
Median Absolute Deviation (MAD)	0
Skewness	6.73397951
Sum	1539402
Variance	1461.601759
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	58668	56.5%
1	2948	2.8%
2	2274	2.2%
3	2009	1.9%
4	1854	1.8%
5	1692	1.6%
6	1517	1.5%
7	1392	1.3%
8	1295	1.2%
9	1255	1.2%
Other values (436)	29000	27.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	58668	56.5%
1	2948	2.8%
2	2274	2.2%
3	2009	1.9%
4	1854	1.8%
5	1692	1.6%
6	1517	1.5%
7	1392	1.3%
8	1295	1.2%
9	1255	1.2%

Value	Count	Frequency (%)
1592	1	< 0.1%
1305	1	< 0.1%
1017	1	< 0.1%
978	1	< 0.1%
933	1	< 0.1%
930	1	< 0.1%
921	1	< 0.1%
859	1	< 0.1%
853	1	< 0.1%
750	1	< 0.1%

Arrival Delay in Minutes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	455
Distinct (%)	0.4%
Missing	310
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	15.1786783

Minimum	0
Maximum	1584
Zeros	58159
Zeros (%)	56.0%
Negative	0
Negative (%)	0.0%
Memory size	811.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	13
95-th percentile	79
Maximum	1584
Range	1584
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	38.69868202
Coefficient of variation (CV)	2.549542276
Kurtosis	94.5370055
Mean	15.1786783
Median Absolute Deviation (MAD)	0
Skewness	6.596636807
Sum	1572420
Variance	1497.58799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	58159	56.0%
1	2211	2.1%
2	2064	2.0%
3	1952	1.9%
4	1907	1.8%
5	1658	1.6%
6	1616	1.6%
7	1481	1.4%
8	1394	1.3%
9	1264	1.2%
Other values (445)	29888	28.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	58159	56.0%
1	2211	2.1%
2	2064	2.0%
3	1952	1.9%
4	1907	1.8%
5	1658	1.6%
6	1616	1.6%
7	1481	1.4%
8	1394	1.3%
9	1264	1.2%

Value	Count	Frequency (%)
1584	1	< 0.1%
1280	1	< 0.1%
1011	1	< 0.1%
970	1	< 0.1%
952	1	< 0.1%
924	1	< 0.1%
920	1	< 0.1%
860	1	< 0.1%
823	1	< 0.1%
729	1	< 0.1%

satisfaction
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	811.9 KiB

neutral or dissatisfied	58879
satisfied	45025

Length

Max length	23
Median length	23
Mean length	16.93334232
Min length	9

Characters and Unicode

Total characters	1759442
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	neutral or dissatisfied
2nd row	neutral or dissatisfied
3rd row	satisfied
4th row	neutral or dissatisfied
5th row	satisfied

Common Values

Value	Count	Frequency (%)
neutral or dissatisfied	58879	56.7%
satisfied	45025	43.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
dissatisfied	58879	26.6%
or	58879	26.6%
neutral	58879	26.6%
satisfied	45025	20.3%

Most occurring characters

Value	Count	Frequency (%)
i	266687	15.2%
s	266687	15.2%
e	162783	9.3%
t	162783	9.3%
a	162783	9.3%
d	162783	9.3%
r	117758	6.7%
	117758	6.7%
f	103904	5.9%
n	58879	3.3%
Other values (3)	176637	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1641684	93.3%
Space Separator	117758	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	266687	16.2%
s	266687	16.2%
e	162783	9.9%
t	162783	9.9%
a	162783	9.9%
d	162783	9.9%
r	117758	7.2%
f	103904	6.3%
n	58879	3.6%
u	58879	3.6%
Other values (2)	117758	7.2%

Space Separator

Value	Count	Frequency (%)
	117758	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1641684	93.3%
Common	117758	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	266687	16.2%
s	266687	16.2%
e	162783	9.9%
t	162783	9.9%
a	162783	9.9%
d	162783	9.9%
r	117758	7.2%
f	103904	6.3%
n	58879	3.6%
u	58879	3.6%
Other values (2)	117758	7.2%

Common

Value	Count	Frequency (%)
	117758	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1759442	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	266687	15.2%
s	266687	15.2%
e	162783	9.3%
t	162783	9.3%
a	162783	9.3%
d	162783	9.3%
r	117758	6.7%
	117758	6.7%
f	103904	5.9%
n	58879	3.3%
Other values (3)	176637	10.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Unnamed: 0	id	Gender	Customer Type	Age	Type of Travel	Class	Flight Distance	Inflight wifi service	Departure/Arrival time convenient	Ease of Online booking	Gate location	Food and drink	Online boarding	Seat comfort	Inflight entertainment	On-board service	Leg room service	Baggage handling	Checkin service	Inflight service	Cleanliness	Departure Delay in Minutes	Arrival Delay in Minutes	satisfaction
0	0	70172	Male	Loyal Customer	13	Personal Travel	Eco Plus	460	3	4	3	1	5	3	5	5	4	3	4	4	5	5	25	18.0	neutral or dissatisfied
1	1	5047	Male	disloyal Customer	25	Business travel	Business	235	3	2	3	3	1	3	1	1	1	5	3	1	4	1	1	6.0	neutral or dissatisfied
2	2	110028	Female	Loyal Customer	26	Business travel	Business	1142	2	2	2	2	5	5	5	5	4	3	4	4	4	5	0	0.0	satisfied
3	3	24026	Female	Loyal Customer	25	Business travel	Business	562	2	5	5	5	2	2	2	2	2	5	3	1	4	2	11	9.0	neutral or dissatisfied
4	4	119299	Male	Loyal Customer	61	Business travel	Business	214	3	3	3	3	4	5	5	3	3	4	4	3	3	3	0	0.0	satisfied
5	5	111157	Female	Loyal Customer	26	Personal Travel	Eco	1180	3	4	2	1	1	2	1	1	3	4	4	4	4	1	0	0.0	neutral or dissatisfied
6	6	82113	Male	Loyal Customer	47	Personal Travel	Eco	1276	2	4	2	3	2	2	2	2	3	3	4	3	5	2	9	23.0	neutral or dissatisfied
7	7	96462	Female	Loyal Customer	52	Business travel	Business	2035	4	3	4	4	5	5	5	5	5	5	5	4	5	4	4	0.0	satisfied
8	8	79485	Female	Loyal Customer	41	Business travel	Business	853	1	2	2	2	4	3	3	1	1	2	1	4	1	2	0	0.0	neutral or dissatisfied
9	9	65725	Male	disloyal Customer	20	Business travel	Eco	1061	3	3	3	4	2	3	3	2	2	3	4	4	3	2	0	0.0	neutral or dissatisfied

Last rows

	Unnamed: 0	id	Gender	Customer Type	Age	Type of Travel	Class	Flight Distance	Inflight wifi service	Departure/Arrival time convenient	Ease of Online booking	Gate location	Food and drink	Online boarding	Seat comfort	Inflight entertainment	On-board service	Leg room service	Baggage handling	Checkin service	Inflight service	Cleanliness	Departure Delay in Minutes	Arrival Delay in Minutes	satisfaction
103894	103894	86549	Male	Loyal Customer	26	Business travel	Business	712	4	4	4	4	5	5	5	5	3	4	4	3	4	5	17	26.0	satisfied
103895	103895	66030	Female	disloyal Customer	24	Business travel	Eco	1055	1	1	1	2	1	1	1	1	3	3	5	5	4	1	13	10.0	neutral or dissatisfied
103896	103896	71445	Male	Loyal Customer	57	Business travel	Eco	867	4	5	5	5	4	4	4	4	3	4	3	1	3	4	0	0.0	neutral or dissatisfied
103897	103897	102203	Female	Loyal Customer	60	Business travel	Business	1599	5	5	5	5	5	5	4	4	4	4	4	4	4	4	9	7.0	satisfied
103898	103898	60666	Male	Loyal Customer	50	Personal Travel	Eco	1620	3	1	3	4	2	3	2	2	4	3	4	2	4	2	0	0.0	neutral or dissatisfied
103899	103899	94171	Female	disloyal Customer	23	Business travel	Eco	192	2	1	2	3	2	2	2	2	3	1	4	2	3	2	3	0.0	neutral or dissatisfied
103900	103900	73097	Male	Loyal Customer	49	Business travel	Business	2347	4	4	4	4	2	4	5	5	5	5	5	5	5	4	0	0.0	satisfied
103901	103901	68825	Male	disloyal Customer	30	Business travel	Business	1995	1	1	1	3	4	1	5	4	3	2	4	5	5	4	7	14.0	neutral or dissatisfied
103902	103902	54173	Female	disloyal Customer	22	Business travel	Eco	1000	1	1	1	5	1	1	1	1	4	5	1	5	4	1	0	0.0	neutral or dissatisfied
103903	103903	62567	Male	Loyal Customer	27	Business travel	Business	1723	1	3	3	3	1	1	1	1	1	1	4	4	3	1	0	0.0	neutral or dissatisfied

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart